Hepatology | Oncology | Radiology Effectiveness of deep learning-based reconstruction for improvement of image quality and liver tumor detectability in the hepatobiliary phase of gadoxetic acid-enhanced magnetic resonance imaging. May 16, 2024
Radiology | Urology Deep-learning-based reconstruction of T2-weighted magnetic resonance imaging of the prostate accelerated by compressed sensing provides improved image quality at half the acquisition time. May 9, 2024
Oncology | Radiology | Urology Bladder MRI with deep learning-based reconstruction: a prospective evaluation of muscle invasiveness using VI-RADS. April 23, 2024
Cardiology | Radiology Evaluation of four computed tomography reconstruction algorithms using a coronary artery phantom. April 16, 2024
Radiology Usefulness of pituitary high-resolution 3D MRI with deep-learning-based reconstruction for perioperative evaluation of pituitary adenomas. February 20, 2024
Neuroradiology | Radiology Optimizing High-Resolution MR Angiography: The Synergistic Effects of 3D Wheel Sampling and Deep Learning-Based Reconstruction. February 12, 2024
Radiology Deep Learning-Based Reconstruction Improves the Image Quality of Low-Dose CT Colonography. January 30, 2024
Otolaryngology | Radiology Three-dimensional heavily T2-weighted FLAIR in the detection of blood-labyrinthine barrier leakage in patients with sudden sensorineural hearing loss: comparison with T1 sequences and application of deep learning-based reconstruction. January 17, 2024
Gastroenterology | Radiology Impact of deep learning-based reconstruction and anti-peristaltic agent on the image quality and diagnostic performance of magnetic resonance enterography comparing single breath-hold single-shot fast spin echo with and without anti-peristaltic agent. January 15, 2024
Gastroenterology | Radiology Deep learning-based magnetic resonance imaging reconstruction for improving the image quality of reduced-field-of-view diffusion-weighted imaging of the pancreas. January 5, 2024
Otolaryngology | Plastic Surgery | Radiology Usefulness of T2-Weighted Images with Deep-Learning-Based Reconstruction in Nasal Cartilage. October 14, 2023
Radiology Physical characteristics of deep learning-based image processing software in computed tomography: a phantom study. September 19, 2023